Understanding data health involves monitoring and analyzing diverse aspects of data systems – referred to as data observability – to ensure optimal performance and reliability. Metrics are crucial, providing quantitative insights into data flow, processing times, and system resource utilization. They also help identify patterns and detect anomalies in real time. Logs offer a historical record of […]
Data Architecture Trends in 2025
A modern data architecture is required to support the data-driven organization that every enterprise wants to be. Without a solid data architecture – composed of the models, policies, rules, and standards you set for how data is collected, stored, managed, and used – your ability to attain a holistic view of your business, make informed […]
2024 DATAVERSITY Top 20
As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again […]
Prescriptive Analytics Use Cases
Optimizing business outcomes through advanced analytics and real-time scenario analysis represents a significant leap forward in decision-making processes. In practice, advanced analytics provides a framework for evaluating an extensive array of potential outcomes derived from different decision paths. It integrates ML models that simulate various scenarios in real time, thereby offering a dynamic decision-support system. […]
Dark Data Explained
Dark data often resides in the hidden recesses of a metaphorical jungle: It comprises unstructured and unused data accumulated over years of digital transactions, interactions, and operations. Dark data is information that has been collected but not actively used or analyzed, leaving its potential benefits to remain speculative. Unlike structured data, which fits neatly into databases […]
Data Modeling Trends in 2025: Simplifying Complex Business Problems
Data modeling, the practice of diagramming business requirements, has grown significantly. According to a 2024 DATAVERSITY® survey on data management trends, 64% of organizations actively use data modeling, a 13% increase since 2023. This trend will only increase in 2025 as companies face heightened opportunities and risks. Newer technologies and AI are set to disrupt predictive analytics, especially with huge volumes of […]
Women in Data: Meet Ghada Richani
The latest installment in our Q&A series with women leaders in data features Ghada Richani, the Managing Director of Data & Technology Strategy and the Project Management Office at Bank of America. (Read our previous Q&A here.) An award-winning tech community thought leader, Ghada Richani started her career at Bank of America in 2001. She worked […]
What Is the EU AI Act and Why Does It Matter?
Technology has always advanced faster than the laws we rely on to protect ourselves from technology’s misuse. Fears of a super-intelligent artificial intelligence arising that manipulates machines and humans to do its will sound like science fiction, but the incredible speed of AI advances make them anything but. The more immediate threats that AI poses to individuals and businesses […]
Data Governance Trends in 2025
As organizations enter 2025, it is time to reflect on the significant trends that shaped data governance in 2024 and anticipate what lies ahead. Multiple factors have driven the rapid evolution of data governance frameworks, including advancements in technology, increased regulatory oversight, and shifting business priorities. To continually improve data governance, it is critical to review key […]
The Growing Importance of AI Governance
New technologies often engender fear and foreboding among people outside tech industries. The latest example of this trend is artificial intelligence (AI), which is a topic of much concern and misunderstanding among the public. It’s easy to dismiss these qualms as the common human tendency to mistrust the unknown. However, much of the alarm about AI […]